Description
Book SynopsisArtificial Intelligence for Autonomous Networks introduces the autonomous network by juxtaposing two unique technologies and communities: Networking and AI. The book reviews the technologies behind AI and software-defined network/network function virtualization, highlighting the exciting opportunities to integrate those two worlds.
Outlining the new frontiers for autonomous networks, this book highlights their impact and benefits to consumers and enterprise customers. It also explores the potential of the autonomous network for transforming network operation, cyber security, enterprise services, 5G and IoT, infrastructure monitoring and traffic optimization, and finally, customer experience and care.
With contributions from leading experts, this book will provide an invaluable resource for network engineers, software engineers, artificial intelligence, and machine learning researchers.
Table of Contents1. The Role of Artificial Intelligence (AI) for Network Automation & Security 2. Machine Learning, Deep Learning, Artificial Intelligence 3. The Shift to a Software Defined Network 4. Blockchain and Cryptography for Secure Information Sharing 5. Building the Autonomous Networks of the Future 6. Role of Open Source, Standards and Public Clouds in Autonomous Networks 7. Machine-learning, Containers, Cloud-natives and Micro-services 8. Artificial Intelligence Software and Hardware Platforms 9. Artificial Intelligence for Network Operation 10. Artificial Intelligence for Cyber Security 11. Artificial Intelligence for Enterprise Networks 12. Artificial Intelligence for 5G+, Edge Compute and IoT 13. Artificial Intelligence for Infrastructure Monitoring and Traffic Optimization 14. Artificial Intelligence for Customer Experience and Care 15. New Artificial Intelligence Frontiers for Autonomous Networks
